Article
Medicine, General & Internal
Jeayoun Kim, Jungchan Park, Ji-Hye Kwon, Sojin Kim, Ah Ran Oh, Jae Ni Jang, Jin-Ho Choi, Jidong Sung, Kwangmo Yang, Kyunga Kim, Joonghyun Ahn, Seung-Hwa Lee
Summary: Elevated intraoperative lactate levels are associated with increased incidence of myocardial injuries after noncardiac surgery and higher 30-day mortality rates.
Article
Medicine, General & Internal
Ekaterine Popova, Pilar Paniagua-Iglesias, Jesus Alvarez-Garcia, Miquel Vives-Borras, Aranzazu Gonzalez-Osuna, Alvaro Garcia-Osuna, Mercedes Rivas-Lasarte, Gisela Hermenegildo-Chavez, Ruben Diaz-Jover, Gonzalo Azparren-Cabezon, Montserrat Barcelo-Trias, Abdel-Hakim Moustafa, Raul Aguilar-Lopez, Jordi Ordonez-Llanos, Pablo Alonso-Coello
Summary: Perioperative myocardial injury (PMI) is a common cardiac complication, and recent guidelines recommend systematic screening using high-sensitivity cardiac troponin (hs-cTn). We conducted a prospective study to evaluate the feasibility and outcomes of implementing PMI screening and found that it is recommendable, especially for high-risk patients. However, achieving optimal screening implementation is challenging.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Corien S. A. Weersink, Judith A. R. van Waes, Remco B. Grobben, Hendrik M. Nathoe, Wilton A. van Klei
Summary: This study focused on identifying high-risk patients for perioperative myocardial infarction (POMI) among those aged 60 and above undergoing intermediate to high-risk noncardiac surgery, and proposed recommendations for troponin I monitoring based on risk assessment.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2021)
Article
Anesthesiology
Paymon M. Azizi, Duminda N. Wijeysundera, Harindra C. Wijeysundera, Peter C. Austin, Angela Jerath, Lu Han, Maria Koh, Dennis T. Ko
Summary: International practice guidelines have different recommendations for postoperative troponin testing after noncardiac surgery. This study evaluated predictors of routine troponin testing after three commonly performed major noncardiac surgeries. The results showed significant variation in testing rates across hospitals, suggesting the need for a more standardized approach to troponin testing.
CANADIAN JOURNAL OF ANESTHESIA-JOURNAL CANADIEN D ANESTHESIE
(2022)
Article
Gastroenterology & Hepatology
Jawad A. Zahid, Adile Orhan, Sarah Ekeloef, Ismail Gogenur
Summary: Myocardial injury is common in patients undergoing colorectal cancer surgery in an enhanced recovery after surgery protocol. Although patients with myocardial injury did not have significantly higher 90-day mortality, they had a higher risk of postoperative complications within 90 days than patients without myocardial injury. Future research should focus on prevention and treatment of myocardial injury after surgery.
DISEASES OF THE COLON & RECTUM
(2021)
Article
Cardiac & Cardiovascular Systems
Johanna Gueckel, Christian Puelacher, Noemi M. Glarner, Danielle Gualandro, Ivo Strebel, Tobias Zimmermann, Ketina Arslani, Reka Hidvegi, Marcel Liffert, Alessandro Genini, Stella Marbot, Maria Schlaepfer, Luzius Steiner, Daniel Bolliger, Andreas Lampart, Lorenz Guerke, Christoph Kindler, Stefan Scharen, Stefan Osswald, Martin Clauss, Daniel Rikli, Giovanna Lurati Buse, Christian Mueller
Summary: This study evaluated the contributions of patient and procedure-related factors to perioperative myocardial infarction/injury (PMI) in noncardiac surgery. The results showed that procedure-related factors were more strongly associated with PMI occurrence, but patient factors also played a role in PMI development.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2022)
Article
Medical Informatics
Seo Jeong Shin, Jungchan Park, Seung-Hwa Lee, Kwangmo Yang, Rae Woong Park
Summary: Machine learning algorithms were used to establish a predictive model for patients with MINS, with extreme gradient boosting outperforming other models and showing high accuracy in predicting mortality.
JMIR MEDICAL INFORMATICS
(2021)
Review
Anesthesiology
Michelle S. Chew, Bernd Saugel, Giovanna Lurati-Buse
Summary: Myocardial injury is a recognized complication in noncardiac surgery patients. Preoperative cTns measurement aids risk stratification, while systematic measurement allows early identification of myocardial injury.
BRITISH JOURNAL OF ANAESTHESIA
(2022)
Article
Anesthesiology
Eva Alvarez Torres, Justyna Bartoszko, Selene Martinez Perez, Gordon Tait, Michael Santema, W. Scott Beattie, Stuart A. Mccluskey, Wilton A. van Klei
Summary: The effect of the 2017 Canadian Cardiovascular Society (CCS) guidelines on troponin surveillance after noncardiac surgery was evaluated in this study. Although the odds of troponin ordering were slightly higher after the publication of the CCS guidelines, there was no change in the odds for detecting myocardial infarction and mortality.
CANADIAN JOURNAL OF ANESTHESIA-JOURNAL CANADIEN D ANESTHESIE
(2023)
Article
Cardiac & Cardiovascular Systems
Mauricio N. Machado, Fernando B. Rodrigues, Marcelo A. Nakazone, Danilo F. Martin, Amalia T. R. Sabbag, Ingrid H. Grigolo, Osvaldo L. Silva-Junior, Lilia N. Maia, Allan S. Jaffe
Summary: This study found that using hs-cTnT as a continuous variable independently predicted 30-day mortality and had the highest accuracy. Additionally, elevations of hs-cTnT above the overall and/or age- and sex-specific URLs were also associated with higher mortality.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2021)
Review
Cardiac & Cardiovascular Systems
Linggen Gao, Lei Chen, Jing He, Bin Wang, Chaoyang Liu, Rong Wang, Li Fan, Rui Cheng
Summary: With the increase in elderly surgical patients, it is important to screen and treat postoperative myocardial injury to improve prognosis. The pathophysiology of postoperative myocardial injury involves an imbalance in myocardial oxygen supply and demand. Controlling risk factors and using recommended medications can effectively improve postoperative myocardial ischemia.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Multidisciplinary Sciences
Ketina Arslani, Danielle M. Gualandro, Christian Puelacher, Giovanna Lurati Buse, Andreas Lampart, Daniel Bolliger, David Schulthess, Noemi Glarner, Reka Hidvegi, Christoph Kindler, Steffen Blum, Francisco A. M. Cardozo, Bruno Caramelli, Lorenz Guerke, Thomas Wolff, Edin Mujagic, Stefan Schaeren, Daniel Rikli, Carlos A. Campos, Gregor Fahrni, Beat A. Kaufmann, Philip Haaf, Michael J. Zellweger, Christoph Kaiser, Stefan Osswald, Luzius A. Steiner, Christian Mueller
Summary: Patients developing perioperative myocardial infarction/injury (PMI) have a high mortality. This multicenter study found that most patients with PMI did not undergo any cardiovascular imaging, but if performed, myocardial perfusion imaging (MPI) and coronary angiography (CA) showed high yield for signs indicative of type 1 myocardial infarction (T1MI).
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Yong-Yeon Jo, Jong-Hwan Jang, Joon-myoung Kwon, Hyung-Chul Lee, Chul-Woo Jung, Seonjeong Byun, Han-Gil Jeong
Summary: This study developed deep learning models to predict intraoperative hypotension (IOH) using waveforms from arterial blood pressure (ABP), electrocardiogram (ECG), and electroencephalogram (EEG). The combination of ABP and EEG improved the model's performance and calibration.
Article
Anesthesiology
Esther M. Wesselink, Sjors H. Wagemakers, Judith A. R. Van Waes, Jonathan P. Wanderer, Wilton A. Van Klei, Teus H. Kappen
Summary: Intraoperative hypotension appears to have a continuous association with postoperative myocardial injury and mortality, with depth of hypotension contributing more than duration.
BRITISH JOURNAL OF ANAESTHESIA
(2022)
Article
Anesthesiology
Robert D. Sanders, Lenka Craigova, Benjamin Schessler, Cameron Casey, Marissa White, Margaret Parker, David Kunkel, Kaj Blennow, Henrik Zetterberg, Robert A. Pearce, Richard Lennertz
Summary: The study found that postoperative troponin increases were associated with changes in NfL (neurofilament light) and inflammatory cytokines. Increases in troponin, but not NfL, were associated with intraoperative hypotension, suggesting differences in the mechanisms contributing to neuronal and myocardial injury.
BRITISH JOURNAL OF ANAESTHESIA
(2021)
Article
Pharmacology & Pharmacy
Radhika T. Krishnakumar, Amrita Asok, Zubair U. Mohamed, Uma D. Padma, Dipu T. Sathyapalan, Merlin Moni, Sabarish Balachandran, Anil Kumar, Rajesh Nair, Surendran Sudhindran, Sanjeev K. Singh
JOURNAL OF PHARMACY PRACTICE
(2023)
Article
Medicine, General & Internal
Md. Khabir Uddin Ahamed, Md Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Uzzal Kumar Acharjee, Bikash Kumar Paul, Mohammad Ali Moni
Summary: COVID-19 is a severe respiratory contagious disease that has spread globally. This article proposes a deep learning-based model to detect COVID-19 cases using chest X-ray images dataset. The accuracy of the model can assist radiologists in rapid detection and diagnosis of COVID-19 cases.
Article
Computer Science, Information Systems
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Mohammand Abu Yousuf, Fares Alharbi, Mohammad Ali Moni
Summary: Network intrusion detection systems (NIDSs) are vital for computer network security, with anomaly-based automated detection mechanisms outperforming others significantly. However, handling large amounts of data remains a challenge for anomaly-based NIDS development. In this research, we propose a hybrid model that combines machine learning and deep learning to enhance detection rates and ensure dependability. Our method employs SMOTE for data balancing and XGBoost for feature selection, resulting in excellent performance on KDDCUP'99 and CIC-MalMem-2022 datasets, achieving accuracy of 99.99% and 100% respectively, without overfitting or Type-1 and Type-2 issues.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2023)
Article
Biotechnology & Applied Microbiology
Sadia Afrin Bristy, Md Arju Hossain, Md Imran Hasan, S. M. Hasan Mahmud, Mohammad Ali Moni, Md Habibur Rahman
Summary: Moraxella catarrhalis is a unique bacterium in humans, acting as a symbiotic organism while also causing mucosal infections. It is a major contributor to acute middle ear infections in children, and its resistance to multiple drugs poses a challenge in treatment. This study used a computational approach to understand the processes leading to antibiotic resistance in M. catarrhalis by analyzing 12 strains from the NCBI-Genome database. The study found 74 antimicrobial-resistant genes and explored their interaction network, revealing their involvement in antibiotic inactivation, target replacement, alteration, and efflux pump processes. Several genes, such as rpoB, atpA, fusA, groEL, and rpoL, were identified as potential therapeutic targets for novel medications. Overall, this study provides valuable insights into the antimicrobial resistance system of M. catarrhalis.
BRIEFINGS IN FUNCTIONAL GENOMICS
(2023)
Article
Biology
Md Arju Hossain, Md Habibur Rahman, Habiba Sultana, Asif Ahsan, Saiful Islam Rayhan, Md Imran Hasan, Md Sohel, Pratul Dipta Somadder, Mohammad Ali Moni
Summary: The study aimed to investigate the pharmacological mechanism behind apigenin's role in the synergetic effects of COVID-19 to the progression of HIV patients. The research found that apigenin has strong interactions with certain key proteins and its pharmacokinetic features suggest it is an effective therapeutic agent. However, more in vitro and in vivo studies are needed to validate these findings.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Biology
Md. Ali Hossain, Tania Akter Asa, Md. Rabiul Auwul, Md. Aktaruzzaman, Md. Mahfizur Rahman, M. Zahidur Rahman, Mohammad Ali Moni
Summary: This study aimed to understand the influence of smoking on COVID-19 infected patients by analyzing the transcriptomics data of lung epithelial cells. The analysis revealed dysregulated genes and pathways associated with smoking and COVID-19 infection. The network analysis identified key proteins overlapping between smoking and COVID-19, and the gene ontology and pathways analysis suggested potential therapeutic targets for smoking individuals with COVID-19.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Health Care Sciences & Services
Palak Mahajan, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni
Summary: Machine learning models are utilized to create and improve disease prediction frameworks, and ensemble learning is a technique that combines multiple classifiers to enhance performance. In this study, the performance accuracies of different ensemble techniques (bagging, boosting, stacking, and voting) are assessed against five highly researched diseases. The findings reveal that stacking has the most accurate performance and can assist researchers in understanding current trends in disease prediction models that employ ensemble learning.
Article
Computer Science, Interdisciplinary Applications
Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni
Summary: Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely affects cognitive, linguistic, object recognition, interpersonal, and communication skills. Our machine learning (ML) architecture effectively analyzes autistic children's datasets and accurately classifies and identifies ASD traits. Early diagnosis using our proposed framework could be helpful for clinicians and reduce medical costs.
Article
Health Care Sciences & Services
Chithira Nair, Merlin Moni, Fabia Edathadathil, A. Appukuttan, Preetha Prasanna, Roshni Pushpa Raghavan, Dipu Sathyapalan, Aveek Jayant
Summary: A study conducted on hospitalized patients in South India from February to July 2021 found that 60.8% of patients still had post-COVID-19 symptoms at 6 weeks after discharge. The incidence of post-COVID-19 syndrome did not significantly differ across different severity categories. Female sex and steroid administration during the hospital stay were identified as predictors of the persistence of post-COVID-19 symptoms at 6 weeks.
JMIR FORMATIVE RESEARCH
(2023)
Article
Biology
Md Mahmodul Hasan, Muhammad Minoar Hossain, Mohammad Motiur Rahman, Akm Azad, Salem A. Alyami, Mohammad Ali Moni
Summary: This research develops a computer-assisted intelligent methodology for ultrasound lung image classification using a fuzzy pooling-based convolutional neural network. The Xception model achieves the best classification results when all pooling layers utilize fuzzy pooling.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdulllah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni
Summary: Brain tumors are fatal and devastating, reducing life expectancy significantly. Accurate diagnosis is crucial for treatment plans. Manual analysis of MRI data is challenging and time-consuming, calling for a reliable deep learning model.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Md Jamal Uddin, Md Martuza Ahamad, Md Nesarul Hoque, Md Abul Ala Walid, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni
Summary: Diabetes is a chronic disease with high blood sugar level, leading to other chronic diseases. Prompt detection and identification of risk factors are crucial in managing diabetes. This study used a questionnaire-based survey to examine diabetes prevalence in Bangladesh and proposed an ensemble-based machine learning framework for prompt detection. Experimental results showed the effectiveness of the ensemble technique (ET) and identified age, extreme thirst, and family history of diabetes as significant features. This method has great potential for clinicians to identify individuals at risk and provide timely intervention and care.
Review
Computer Science, Information Systems
Showmick Guha Paul, Arpa Saha, Mohammad Shamsul Arefin, Touhid Bhuiyan, Al Amin Biswas, Ahmed Wasif Reza, Naif M. Alotaibi, Salem A. Alyami, Mohammad Ali Moni
Summary: Green computing, or sustainable computing, focuses on developing and optimizing computer technology to be more energy efficient and have less negative impact on the environment. This study reviews and summarizes the advancements, challenges, and future research opportunities in green computing. It provides insights and ideas for organizations, researchers, and institutions conducting research in this field, as well as benefits environmental organizations, companies, and government agencies concerned with reducing carbon emissions and energy consumption.
Article
Health Care Sciences & Services
Md. Martuza Ahamad, Sakifa Aktar, Md. Jamal Uddin, Md. Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, Salem A. Alyami, Iqbal H. Sarker, Asaduzzaman Khan, Pietro Lio, Julian M. W. Quinn, Mohammad Ali Moni
Summary: Good vaccine safety and reliability are crucial for countering infectious diseases effectively. This study aims to reduce adverse reactions to COVID-19 vaccines by identifying common factors through patient data analysis and classification. Patient medical histories and postvaccination effects were examined, and statistical and machine learning approaches were used. The analysis revealed that prior illnesses, hospital admissions, and SARS-CoV-2 reinfection were significantly associated with poor patient reactions.
Article
Biotechnology & Applied Microbiology
Md. Tanvir Hasan, Md. Rakibul Islam, Md. Rezwan Islam, Baraa Riyadh Altahan, Kawsar Ahmed, Francis M. M. Bui, Sami Azam, Mohammad Ali Moni
Summary: This study conducted network analysis to explore genetic connections, functional enrichment, pathway analysis, miRNA-TF co-regulatory network, gene-disease associations, and therapeutic targets for CC. The findings suggest that CC has specific links with the progression of different tumors, and candidate drugs identified in this study could be effective for advanced CC treatment.
JOURNAL OF GENETIC ENGINEERING AND BIOTECHNOLOGY
(2023)